TriboGait: A deep learning enabled triboelectric gait sensor system for human activity recognition and individual identification

Author:

Li Jiarong1,Wang Zihan1,Zhao Zihao1,Jin Yuchao1,Yin Jihong1,Huang Shao-Lun2,Wang Jiyu2

Affiliation:

1. Tsinghua University, China

2. Tsinghua University and Tsinghua University, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Triboelectric Nanogenerators with Machine Learning for Internet of Things;Advanced Materials Technologies;2024-08-03

2. PhD Forum Abstract: Ubiquitous Sensing System for Activity and Gesture Recognition via Optical and Energy-Harvesting Technologies;2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN);2024-05-13

3. Indoor Health Monitoring with VLC-based Passive Posture Monitoring;2024 Photonics & Electromagnetics Research Symposium (PIERS);2024-04-21

4. Too Good To Be True: accuracy overestimation in (re)current practices for Human Activity Recognition;2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops);2024-03-11

5. Integrated sensing, lighting and communication based on visible light communication: A review;Digital Signal Processing;2024-02

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